Evidence map›Paper›PMID 29942615›Full record

ArticleDigital health

Acceptability of targeting social embarrassment in a digital intervention to reduce student alcohol consumption: A qualitative think aloud study.

Emma L Davies, Cara Law, Sarah E Hennelly, Adam R Winstock

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Emma L Davies1Department of Psychology, Oxford Brookes University, UK.ORCID 0000-0003-3577-3276
Cara Law1Department of Psychology, Oxford Brookes University, UK.
Sarah E Hennelly1Department of Psychology, Oxford Brookes University, UK.
Adam R Winstock2Global Drug Survey, UK & University College London, UK.
Oxford Brookes University · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIncreasing knowledge about alcohol-related harms, changing social norms, or encouraging drinking within safe unit levels often fails to change behaviour in young people. A novel intervention called 'OneTooMany' was developed, which targets the short-term social, and potentially, embarrassing consequences of drinking alcohol. The aim of this paper was to explore its acceptability, and to determine any features that might influence its effectiveness as a means of reducing alcohol consumption.

methodsParticipants were 23 young adults (aged 18-30) currently studying at university (

resultsEmbarrassing experiences were a normalised part of drinking occasions, while some were actively avoided, others were celebrated. Humour served as a device to engage and interest participants, but could also diminish intervention messages. OneTooMany prompted reflections on many regrettable drinking experiences, but the participants did not see themselves as the target audience for this intervention.

conclusionsInterventions may benefit from focusing on some of the short term, embarrassing consequences of excessive alcohol consumption. Further research is needed to ensure that reflections on past behaviour are helpful in addressing future behaviour.

Indexed as

Alcoholdigital interventionssocial embarrassmentthink aloud interviews

Identifiers

PMID29942615
PMCPMC6001214
OpenAlexW2763686324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.